2 citations · 3 across the 11 of their papers we have counts for
11 papers
Towards Robust Text-to-Image Person Retrieval: Multi-View Reformulation for Semantic Compensation
Chao Yuan, Yujian Zhao, Haoxuan Xu +1
In text-to-image person retrieval tasks, the diversity of natural language expressions and the implicitness of visual semantics often lead to the problem of Expression Drift, where…
ERNIE 5.0 Technical Report
Haifeng Wang, Hua Wu, Tian Wu +432
In this report, we introduce ERNIE 5.0, a natively autoregressive foundation model desinged for unified multimodal understanding and generation across text, image, video, and audio…
OmniPerson: Unified Identity-Preserving Pedestrian Generation
Changxiao Ma, Chao Yuan, Xincheng Shi +6
Person re-identification (ReID) suffers from a lack of large-scale high-quality training data due to challenges in data privacy and annotation costs. While previous approaches have…
UniComp: Rethinking Video Compression Through Informational Uniqueness
Chao Yuan, Shimin Chen, Minliang Lin +3
Distinct from attention-based compression methods, this paper presents an information uniqueness driven video compression framework, termed UniComp, which aims to maximize the info…
Modality-Transition Representation Learning for Visible-Infrared Person Re-Identification
Chao Yuan, Zanwu Liu, Guiwei Zhang +4
Visible-infrared person re-identification (VI-ReID) technique could associate the pedestrian images across visible and infrared modalities in the practical scenarios of background…
Perturbations in the Orthogonal Complement Subspace for Efficient Out-of-Distribution Detection
Zhexiao Huang, Weihao He, Shutao Deng +4
Out-of-distribution (OOD) detection is essential for deploying deep learning models in open-world environments. Existing approaches, such as energy-based scoring and gradient-proje…
Resolution as a Direction: Vector-Panning Feature Alignment for Cross-Resolution Re-Identification
Zanwu Liu, Chao Yuan, Bo Li +2
Cross-resolution person re-identification (CR-ReID) remains challenging in practical surveillance, where camera quality and capture distance lead to substantial resolution gaps bet…
DATE: Dynamic Absolute Time Enhancement for Long Video Understanding
Chao Yuan, Yang Yang, Yehui Yang +1
Long video understanding remains a fundamental challenge for multimodal large language models (MLLMs), particularly in tasks requiring precise temporal reasoning and event localiza…
INSEva: A Comprehensive Chinese Benchmark for Large Language Models in Insurance
Shisong Chen, Qian Zhu, Wenyan Yang +15
Insurance, as a critical component of the global financial system, demands high standards of accuracy and reliability in AI applications. While existing benchmarks evaluate AI capa…
Neighbor-Based Feature and Index Enhancement for Person Re-Identification
Chao Yuan, Tianyi Zhang, Guanglin Niu
Person re-identification (Re-ID) aims to match the same pedestrian in a large gallery with different cameras and views. Enhancing the robustness of the extracted feature representa…
From Poses to Identity: Training-Free Person Re-Identification via Feature Centralization
Chao Yuan, Guiwei Zhang, Changxiao Ma +2
Person re-identification (ReID) aims to extract accurate identity representation features. However, during feature extraction, individual samples are inevitably affected by noise (…